R Notebook: estimation of gas costs using the measure marginal method; for Gas Cost Estimator; for a single given env
In this script we conduct the estimation for the
measure_marginal approach for a single given env =
erigon.
PROGRAMS=pg_marginal_full5_c50_step1_shuffle SAMPLESIZE=50 NSAMPLES=4.
Expected a result file erigon_pg_marginal_full5_c50_step1_shuffle_size_10.csv.
programs = read.csv(paste("stage3/", program_set_codename, ".csv", sep=""))
results = load_data_set(env, program_set_codename, measurement_codename)
# besu may have additional columns with gc stats
results = results[, c("program_id", "sample_id", "run_id", "measure_total_time_ns", "measure_total_timer_time_ns", "env")]
# TODO geth short-circuits zero length programs, resulting in zero timing somehow. Drop these more elegantly, not based on measure_total_time_ns
results = results[which(results$measure_total_time_ns != 0), ]
all_envs = c(env)measurements = sqldf("SELECT opcode, op_count, sample_id, run_id, measure_total_time_ns, env, results.program_id
FROM results
INNER JOIN
programs ON(results.program_id = programs.program_id)")
measurements$opcode = factor(measurements$opcode, levels=unique(programs$opcode))
head(measurements)## opcode op_count sample_id run_id measure_total_time_ns env program_id
## 1 ADD 27 0 1 6522 erigon ADD_27
## 2 ADD 27 0 2 6666 erigon ADD_27
## 3 ADD 27 0 3 6543 erigon ADD_27
## 4 ADD 27 0 4 6637 erigon ADD_27
## 5 ADD 27 0 5 6464 erigon ADD_27
## 6 ADD 27 0 6 6478 erigon ADD_27Switch removed_outliers to FALSE to see the
comparison.
boxplot(measurements[which(measurements$env == env), 'measure_total_time_ns'] ~ measurements[which(measurements$env == env), 'opcode'], las=2, outline=TRUE, log='y', main=paste(env, 'all'))
if (removed_outliers) {
measurements = remove_compare_outliers(measurements, 'measure_total_time_ns', all_envs)
}
# For a subset of the `measurements` data frame, fits a bimodal distribution model and corrects the
# data by bringing the "top-mode" cluster down to the "bottom-mode" cluster.
correct_bimodal <- function(df) {
mix_model = normalmixEM(df$measure_total_time_ns)
print(summary(mix_model))
plot(mix_model,which=2)
mode_distance = abs(mix_model$mu[2] - mix_model$mu[1])
mode_midpoint = (mix_model$mu[2] + mix_model$mu[1]) / 2
over_threshold = which(df$measure_total_time_ns > mode_midpoint)
df[over_threshold, "measure_total_time_ns"] = df[over_threshold, "measure_total_time_ns"] - mode_distance
return(df)
}
# Performs the `measure_marginal` estimation procedure for a given slice of the data.
# Prints the diagnostics and plots the models.
compute_all <- function(opcode, env, plots, bimodal_opcodes, use_median) {
if (missing(bimodal_opcodes)) {
bimodal_opcodes = c()
}
if (missing(plots)) {
plots = "scatter"
}
if (missing(use_median)) {
use_median = FALSE
}
print(c(opcode, env))
df = measurements[which(measurements$opcode==opcode & measurements$env==env),]
if (opcode %in% bimodal_opcodes) {
par(mfrow=c(1,2))
boxplot(measure_total_time_ns ~ op_count, data=df, las=2, outline=removed_outliers)
title(main=paste(env, opcode))
# correct_bimodal plots the second plot inside
df = correct_bimodal(df)
}
if (use_median) {
f = median
} else {
f = mean
}
df_mean = aggregate(measure_total_time_ns ~ op_count * env, df, f)
model_mean = lm(measure_total_time_ns ~ op_count, data=df_mean)
print(summary(model_mean))
slope = model_mean$coefficients[['op_count']]
stderr = summary(model_mean)$coefficients['op_count','Std. Error']
if (plots == "scatter" | plots == "all") {
par(mfrow=c(1,1))
boxplot(measure_total_time_ns ~ op_count, data=df, las=2, outline=removed_outliers)
rounded_slope = round(slope, 3)
rounded_p = round(summary(model_mean)$coefficients['op_count','Pr(>|t|)'], 3)
rounded_stderr = round(stderr, 3)
title(main=paste(env, opcode, rounded_slope, "p_value:", rounded_p, "StdErr:", rounded_stderr))
abline(model_mean, col="red")
}
if (plots == "diagnostics" | plots == "all") {
par(mfrow=c(2,2))
plot(model_mean)
}
list("slope" = slope, "stderr" = stderr)
}
extract_opcodes <- function() {
unique(measurements$opcode)
}all_opcodes = extract_opcodes()
# initialize the data frame to hold the results
estimates = data.frame(matrix(ncol = 4, nrow = 0))
colnames(estimates) <- c('op', 'estimate_marginal_ns', 'estimate_marginal_ns_stderr', 'env')Every sample starts with a fresh evm instance. We investigate whether the results may depend on the time from evm start - related to run_id. To avoid being overrun by the number of images, all op_count for a given run_id are are placed, so values are not centered. That should not an issue.
for (opcode in all_opcodes) {
boxplot(measure_total_time_ns~run_id,data=measurements[measurements$opcode == opcode,], main=opcode)
}
Now we can investigate the linear regressions.
if (env == 'evmone') {
bimodals = all_opcodes[which(grepl("PUSH", all_opcodes) & all_opcodes != "PUSH1" | all_opcodes == "JUMP")]
} else {
bimodals = c()
}
for (opcode in all_opcodes) {
estimate = compute_all(opcode=opcode, env=env, use_median=TRUE, bimodal_opcodes=bimodals, plots='all')
estimates[nrow(estimates) + 1, ] = c(opcode, estimate, env)
}## [1] "ADD" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -247.55 -27.65 10.28 43.82 113.61
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6270.5464 23.4913 266.93 < 0.0000000000000002 ***
## op_count 8.7287 0.8097 10.78 0.0000000000000157 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 85.12 on 49 degrees of freedom
## Multiple R-squared: 0.7034, Adjusted R-squared: 0.6973
## F-statistic: 116.2 on 1 and 49 DF, p-value: 0.00000000000001569
## [1] "MUL" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -283.42 -25.25 12.97 51.41 146.04
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6278.423 25.125 249.88 < 0.0000000000000002 ***
## op_count 10.367 0.866 11.97 0.00000000000000037 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 91.04 on 49 degrees of freedom
## Multiple R-squared: 0.7452, Adjusted R-squared: 0.74
## F-statistic: 143.3 on 1 and 49 DF, p-value: 0.0000000000000003701
## [1] "SUB" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -306.93 -24.04 15.68 40.96 139.24
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6275.9163 24.3066 258.198 < 0.0000000000000002 ***
## op_count 8.0139 0.8378 9.565 0.000000000000862 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 88.07 on 49 degrees of freedom
## Multiple R-squared: 0.6512, Adjusted R-squared: 0.6441
## F-statistic: 91.49 on 1 and 49 DF, p-value: 0.0000000000008623
## [1] "DIV" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -286.67 -42.85 15.59 68.51 200.28
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6290.1241 26.7939 234.760 < 0.0000000000000002 ***
## op_count 8.5495 0.9236 9.257 0.00000000000245 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 97.08 on 49 degrees of freedom
## Multiple R-squared: 0.6362, Adjusted R-squared: 0.6288
## F-statistic: 85.69 on 1 and 49 DF, p-value: 0.000000000002448
## [1] "SDIV" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -278.84 -23.50 16.55 53.35 156.92
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6298.4691 24.8566 253.4 < 0.0000000000000002 ***
## op_count 9.6852 0.8568 11.3 0.00000000000000295 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 90.06 on 49 degrees of freedom
## Multiple R-squared: 0.7228, Adjusted R-squared: 0.7172
## F-statistic: 127.8 on 1 and 49 DF, p-value: 0.000000000000002948
## [1] "MOD" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -285.84 -46.29 18.57 63.93 155.77
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6294.3416 27.1145 232.14 < 0.0000000000000002 ***
## op_count 9.5405 0.9346 10.21 0.000000000000101 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 98.25 on 49 degrees of freedom
## Multiple R-squared: 0.6802, Adjusted R-squared: 0.6736
## F-statistic: 104.2 on 1 and 49 DF, p-value: 0.0000000000001012
## [1] "SMOD" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -275.62 -34.17 13.95 42.55 141.29
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6320.4815 25.7662 245.3 < 0.0000000000000002 ***
## op_count 10.5717 0.8881 11.9 0.000000000000000455 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 93.36 on 49 degrees of freedom
## Multiple R-squared: 0.743, Adjusted R-squared: 0.7378
## F-statistic: 141.7 on 1 and 49 DF, p-value: 0.0000000000000004551
## [1] "ADDMOD" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -298.29 -46.76 10.70 68.48 181.79
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6323.0928 27.0660 233.6 < 0.0000000000000002 ***
## op_count 11.1928 0.9329 12.0 0.000000000000000341 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 98.07 on 49 degrees of freedom
## Multiple R-squared: 0.746, Adjusted R-squared: 0.7408
## F-statistic: 143.9 on 1 and 49 DF, p-value: 0.0000000000000003409
## [1] "MULMOD" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -222.911 -37.814 -2.294 48.839 206.777
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6280.4106 23.8808 262.99 <0.0000000000000002 ***
## op_count 25.6753 0.8231 31.19 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 86.53 on 49 degrees of freedom
## Multiple R-squared: 0.9521, Adjusted R-squared: 0.9511
## F-statistic: 972.9 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "EXP" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -250.00 -44.81 10.36 56.40 158.81
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6274.5053 25.6425 244.69 <0.0000000000000002 ***
## op_count 35.5896 0.8839 40.27 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 92.91 on 49 degrees of freedom
## Multiple R-squared: 0.9707, Adjusted R-squared: 0.9701
## F-statistic: 1621 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "SIGNEXTEND" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -311.85 -22.33 7.84 47.21 154.08
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6319.8492 25.4650 248.18 <0.0000000000000002 ***
## op_count 12.0570 0.8778 13.74 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 92.27 on 49 degrees of freedom
## Multiple R-squared: 0.7938, Adjusted R-squared: 0.7896
## F-statistic: 188.7 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "LT" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -272.34 -33.53 11.72 53.26 175.33
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6281.8386 24.5642 255.732 < 0.0000000000000002 ***
## op_count 7.9578 0.8467 9.399 0.00000000000151 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 89 on 49 degrees of freedom
## Multiple R-squared: 0.6432, Adjusted R-squared: 0.6359
## F-statistic: 88.33 on 1 and 49 DF, p-value: 0.000000000001514
## [1] "GT" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -214.70 -20.84 24.68 49.49 92.51
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6260.2496 21.7187 288.24 < 0.0000000000000002 ***
## op_count 8.9481 0.7486 11.95 0.000000000000000391 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 78.69 on 49 degrees of freedom
## Multiple R-squared: 0.7446, Adjusted R-squared: 0.7394
## F-statistic: 142.9 on 1 and 49 DF, p-value: 0.0000000000000003909
## [1] "SLT" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -276.621 -29.234 4.942 54.862 196.883
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6295.6207 24.9564 252.3 < 0.0000000000000002 ***
## op_count 9.5497 0.8602 11.1 0.0000000000000056 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 90.43 on 49 degrees of freedom
## Multiple R-squared: 0.7155, Adjusted R-squared: 0.7097
## F-statistic: 123.2 on 1 and 49 DF, p-value: 0.000000000000005604
## [1] "SGT" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -267.73 -29.47 18.27 58.94 114.25
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6302.2342 25.1857 250.23 < 0.0000000000000002 ***
## op_count 9.3589 0.8681 10.78 0.0000000000000157 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 91.26 on 49 degrees of freedom
## Multiple R-squared: 0.7034, Adjusted R-squared: 0.6974
## F-statistic: 116.2 on 1 and 49 DF, p-value: 0.00000000000001566
## [1] "EQ" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -269.28 -25.45 17.37 49.69 144.50
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6272.2824 22.7997 275.10 < 0.0000000000000002 ***
## op_count 8.0797 0.7859 10.28 0.0000000000000796 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 82.61 on 49 degrees of freedom
## Multiple R-squared: 0.6833, Adjusted R-squared: 0.6768
## F-statistic: 105.7 on 1 and 49 DF, p-value: 0.00000000000007959
## [1] "ISZERO" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -270.574 -26.631 8.993 56.965 128.160
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6273.3213 23.7949 263.642 < 0.0000000000000002 ***
## op_count 6.8766 0.8202 8.384 0.0000000000497 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 86.22 on 49 degrees of freedom
## Multiple R-squared: 0.5892, Adjusted R-squared: 0.5809
## F-statistic: 70.29 on 1 and 49 DF, p-value: 0.00000000004971
## [1] "AND" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -305.181 -23.862 7.464 51.243 114.789
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6311.1806 23.9993 262.973 < 0.0000000000000002 ***
## op_count 7.2061 0.8272 8.711 0.000000000016 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 86.96 on 49 degrees of freedom
## Multiple R-squared: 0.6076, Adjusted R-squared: 0.5996
## F-statistic: 75.88 on 1 and 49 DF, p-value: 0.00000000001596
## [1] "OR" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -236.678 -22.446 3.284 56.093 147.343
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6263.1776 22.5528 277.71 < 0.0000000000000002 ***
## op_count 8.5600 0.7774 11.01 0.00000000000000747 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 81.72 on 49 degrees of freedom
## Multiple R-squared: 0.7122, Adjusted R-squared: 0.7063
## F-statistic: 121.3 on 1 and 49 DF, p-value: 0.000000000000007466
## [1] "XOR" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -229.98 -40.35 24.09 60.71 136.42
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6268.126 23.731 264.13 < 0.0000000000000002 ***
## op_count 8.618 0.818 10.54 0.0000000000000346 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 85.99 on 49 degrees of freedom
## Multiple R-squared: 0.6937, Adjusted R-squared: 0.6875
## F-statistic: 111 on 1 and 49 DF, p-value: 0.00000000000003462
## [1] "NOT" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -240.381 -23.653 8.036 45.883 140.603
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6278.8812 22.4858 279.237 < 0.0000000000000002 ***
## op_count 6.7389 0.7751 8.695 0.0000000000169 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 81.47 on 49 degrees of freedom
## Multiple R-squared: 0.6067, Adjusted R-squared: 0.5987
## F-statistic: 75.6 on 1 and 49 DF, p-value: 0.00000000001689
## [1] "BYTE" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -261.973 -26.953 7.208 48.606 154.779
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6276.4732 22.7797 275.53 < 0.0000000000000002 ***
## op_count 9.0748 0.7852 11.56 0.00000000000000133 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 82.54 on 49 degrees of freedom
## Multiple R-squared: 0.7316, Adjusted R-squared: 0.7261
## F-statistic: 133.6 on 1 and 49 DF, p-value: 0.000000000000001331
## [1] "SHL" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -309.84 -38.62 24.41 59.89 130.04
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6320.6271 25.5709 247.18 < 0.0000000000000002 ***
## op_count 9.4039 0.8814 10.67 0.0000000000000224 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 92.65 on 49 degrees of freedom
## Multiple R-squared: 0.6991, Adjusted R-squared: 0.6929
## F-statistic: 113.8 on 1 and 49 DF, p-value: 0.00000000000002243
## [1] "SHR" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -298.88 -50.90 24.32 72.43 122.94
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6311.8518 26.8004 235.51 < 0.0000000000000002 ***
## op_count 10.0295 0.9238 10.86 0.0000000000000122 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 97.11 on 49 degrees of freedom
## Multiple R-squared: 0.7064, Adjusted R-squared: 0.7004
## F-statistic: 117.9 on 1 and 49 DF, p-value: 0.00000000000001225
## [1] "SAR" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -334.83 -50.58 21.62 72.01 139.75
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6322.825 30.076 210.230 < 0.0000000000000002 ***
## op_count 10.327 1.037 9.962 0.000000000000228 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 109 on 49 degrees of freedom
## Multiple R-squared: 0.6695, Adjusted R-squared: 0.6627
## F-statistic: 99.24 on 1 and 49 DF, p-value: 0.0000000000002284
## [1] "ADDRESS" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -86.162 -25.979 -9.512 23.530 109.408
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4127.88 12.18 338.78 <0.0000000000000002 ***
## op_count 20.88 0.42 49.72 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 44.15 on 49 degrees of freedom
## Multiple R-squared: 0.9806, Adjusted R-squared: 0.9802
## F-statistic: 2472 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "ORIGIN" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -92.815 -31.397 -6.941 23.904 141.511
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4169.8054 14.3287 291.01 <0.0000000000000002 ***
## op_count 12.2337 0.4939 24.77 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 51.92 on 49 degrees of freedom
## Multiple R-squared: 0.926, Adjusted R-squared: 0.9245
## F-statistic: 613.5 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "CALLER" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -82.387 -22.505 6.042 24.385 72.348
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4198.2394 10.0636 417.17 <0.0000000000000002 ***
## op_count 9.9049 0.3469 28.55 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 36.46 on 49 degrees of freedom
## Multiple R-squared: 0.9433, Adjusted R-squared: 0.9422
## F-statistic: 815.3 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "CALLVALUE" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -65.940 -24.921 3.866 19.498 80.769
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4179.343 9.371 446.01 <0.0000000000000002 ***
## op_count 4.298 0.323 13.31 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 33.95 on 49 degrees of freedom
## Multiple R-squared: 0.7833, Adjusted R-squared: 0.7789
## F-statistic: 177.1 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "CALLDATALOAD" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -48.920 -17.453 -1.234 14.861 66.109
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8615.5698 7.2480 1188.68 <0.0000000000000002 ***
## op_count 6.9270 0.2498 27.73 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 26.26 on 49 degrees of freedom
## Multiple R-squared: 0.9401, Adjusted R-squared: 0.9389
## F-statistic: 768.8 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "CALLDATASIZE" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -63.307 -25.159 2.392 25.128 111.533
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4165.8424 9.8657 422.25 <0.0000000000000002 ***
## op_count 5.6914 0.3401 16.74 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 35.75 on 49 degrees of freedom
## Multiple R-squared: 0.8511, Adjusted R-squared: 0.8481
## F-statistic: 280.1 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "CALLDATACOPY" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -171.222 -73.580 -8.398 60.199 241.614
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7108.6569 28.1051 252.93 <0.0000000000000002 ***
## op_count 25.0412 0.9688 25.85 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 101.8 on 49 degrees of freedom
## Multiple R-squared: 0.9317, Adjusted R-squared: 0.9303
## F-statistic: 668.2 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "CODESIZE" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -59.08 -19.50 5.02 17.96 89.79
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4174.3548 8.6993 479.8 <0.0000000000000002 ***
## op_count 5.3380 0.2999 17.8 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 31.52 on 49 degrees of freedom
## Multiple R-squared: 0.8661, Adjusted R-squared: 0.8633
## F-statistic: 316.9 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "CODECOPY" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -98.332 -34.651 0.125 39.084 102.977
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 10616.6753 13.3431 795.67 <0.0000000000000002 ***
## op_count 17.6565 0.4599 38.39 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 48.35 on 49 degrees of freedom
## Multiple R-squared: 0.9678, Adjusted R-squared: 0.9672
## F-statistic: 1474 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "GASPRICE" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -60.984 -19.554 0.824 18.699 91.288
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4193.0238 8.4950 493.58 <0.0000000000000002 ***
## op_count 5.1920 0.2928 17.73 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 30.78 on 49 degrees of freedom
## Multiple R-squared: 0.8652, Adjusted R-squared: 0.8624
## F-statistic: 314.4 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "RETURNDATASIZE" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -69.208 -28.192 -7.522 24.587 90.138
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4189.2029 10.2583 408.37 <0.0000000000000002 ***
## op_count 5.0691 0.3536 14.34 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 37.17 on 49 degrees of freedom
## Multiple R-squared: 0.8075, Adjusted R-squared: 0.8036
## F-statistic: 205.5 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "RETURNDATACOPY" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -142.944 -47.977 -6.872 50.636 154.650
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 9952.6109 19.4870 510.73 <0.0000000000000002 ***
## op_count 26.1014 0.6717 38.86 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 70.61 on 49 degrees of freedom
## Multiple R-squared: 0.9686, Adjusted R-squared: 0.9679
## F-statistic: 1510 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "COINBASE" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -82.429 -25.511 2.541 29.816 98.330
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4163.7952 11.3220 367.76 <0.0000000000000002 ***
## op_count 11.7211 0.3903 30.03 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 41.02 on 49 degrees of freedom
## Multiple R-squared: 0.9485, Adjusted R-squared: 0.9474
## F-statistic: 902.1 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "TIMESTAMP" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -81.732 -24.190 -6.921 21.938 76.186
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4196.7221 9.5998 437.17 <0.0000000000000002 ***
## op_count 6.0048 0.3309 18.15 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 34.78 on 49 degrees of freedom
## Multiple R-squared: 0.8705, Adjusted R-squared: 0.8678
## F-statistic: 329.3 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "NUMBER" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -78.066 -18.273 -1.082 25.511 76.460
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4187.5581 9.6435 434.24 <0.0000000000000002 ***
## op_count 6.3220 0.3324 19.02 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 34.94 on 49 degrees of freedom
## Multiple R-squared: 0.8807, Adjusted R-squared: 0.8783
## F-statistic: 361.7 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "DIFFICULTY" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -86.959 -19.865 -3.052 18.499 97.279
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4191.8741 9.9714 420.4 <0.0000000000000002 ***
## op_count 5.5678 0.3437 16.2 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 36.13 on 49 degrees of freedom
## Multiple R-squared: 0.8427, Adjusted R-squared: 0.8394
## F-statistic: 262.4 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "GASLIMIT" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -73.938 -23.490 -6.496 28.328 110.991
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4197.2854 10.5496 397.86 <0.0000000000000002 ***
## op_count 7.1529 0.3636 19.67 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 38.22 on 49 degrees of freedom
## Multiple R-squared: 0.8876, Adjusted R-squared: 0.8853
## F-statistic: 386.9 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "CHAINID" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -65.054 -24.011 -1.891 22.273 72.355
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4189.7526 9.3053 450.3 <0.0000000000000002 ***
## op_count 6.3836 0.3207 19.9 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 33.72 on 49 degrees of freedom
## Multiple R-squared: 0.8899, Adjusted R-squared: 0.8877
## F-statistic: 396.1 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "SELFBALANCE" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -71.406 -26.282 3.147 24.488 88.188
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4136.7353 10.3296 400.47 <0.0000000000000002 ***
## op_count 30.2824 0.3561 85.05 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 37.43 on 49 degrees of freedom
## Multiple R-squared: 0.9933, Adjusted R-squared: 0.9931
## F-statistic: 7234 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "POP" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -127.658 -35.653 -5.297 22.166 249.309
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5065.2545 20.8737 242.662 < 0.0000000000000002 ***
## op_count 6.1722 0.7195 8.578 0.0000000000253 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 75.63 on 49 degrees of freedom
## Multiple R-squared: 0.6003, Adjusted R-squared: 0.5921
## F-statistic: 73.59 on 1 and 49 DF, p-value: 0.00000000002527
## [1] "MLOAD" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -57.711 -14.932 -3.002 15.672 41.207
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8623.7579 6.6310 1300.52 <0.0000000000000002 ***
## op_count 12.4767 0.2286 54.59 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.03 on 49 degrees of freedom
## Multiple R-squared: 0.9838, Adjusted R-squared: 0.9835
## F-statistic: 2980 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "MSTORE" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -171.59 -58.39 -5.17 47.75 188.23
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7111.5935 21.0091 338.50 <0.0000000000000002 ***
## op_count 60.2367 0.7242 83.18 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 76.12 on 49 degrees of freedom
## Multiple R-squared: 0.993, Adjusted R-squared: 0.9928
## F-statistic: 6919 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "MSTORE8" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -156.916 -70.209 -5.557 52.079 167.387
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7100.5728 24.4148 290.83 <0.0000000000000002 ***
## op_count 15.4108 0.8416 18.31 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 88.46 on 49 degrees of freedom
## Multiple R-squared: 0.8725, Adjusted R-squared: 0.8699
## F-statistic: 335.3 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "JUMP" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -303.75 -33.86 3.58 41.39 173.58
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4675.7489 20.5439 227.60 <0.0000000000000002 ***
## op_count 20.6112 0.7081 29.11 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 74.44 on 49 degrees of freedom
## Multiple R-squared: 0.9453, Adjusted R-squared: 0.9442
## F-statistic: 847.2 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "JUMPI" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -596.31 -51.78 -1.92 79.97 235.62
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6971.313 34.656 201.16 <0.0000000000000002 ***
## op_count 30.035 1.195 25.14 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 125.6 on 49 degrees of freedom
## Multiple R-squared: 0.9281, Adjusted R-squared: 0.9266
## F-statistic: 632.2 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PC" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -60.554 -26.201 -3.861 28.668 77.510
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4199.0207 9.9558 421.76 <0.0000000000000002 ***
## op_count 4.5705 0.3432 13.32 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 36.07 on 49 degrees of freedom
## Multiple R-squared: 0.7836, Adjusted R-squared: 0.7791
## F-statistic: 177.4 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "MSIZE" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -67.282 -16.970 -1.512 13.615 83.308
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4184.5068 9.0482 462.47 <0.0000000000000002 ***
## op_count 4.9550 0.3119 15.89 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 32.78 on 49 degrees of freedom
## Multiple R-squared: 0.8374, Adjusted R-squared: 0.8341
## F-statistic: 252.4 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "GAS" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -59.035 -18.566 -6.075 23.364 83.804
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4178.7168 8.2062 509.21 <0.0000000000000002 ***
## op_count 4.8800 0.2829 17.25 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.73 on 49 degrees of freedom
## Multiple R-squared: 0.8586, Adjusted R-squared: 0.8558
## F-statistic: 297.6 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "JUMPDEST" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -58.824 -15.686 2.055 16.115 56.900
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3214.3597 7.8014 412.02 <0.0000000000000002 ***
## op_count 3.3103 0.2689 12.31 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.27 on 49 degrees of freedom
## Multiple R-squared: 0.7557, Adjusted R-squared: 0.7507
## F-statistic: 151.5 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH1" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -118.44 -51.14 -11.34 33.05 151.30
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4126.3115 18.9181 218.11 <0.0000000000000002 ***
## op_count 7.9777 0.6521 12.23 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 68.55 on 49 degrees of freedom
## Multiple R-squared: 0.7534, Adjusted R-squared: 0.7483
## F-statistic: 149.7 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH2" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -157.52 -43.50 18.35 68.50 143.38
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4111.3088 22.1412 185.69 <0.0000000000000002 ***
## op_count 14.3629 0.7632 18.82 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 80.23 on 49 degrees of freedom
## Multiple R-squared: 0.8785, Adjusted R-squared: 0.876
## F-statistic: 354.2 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH3" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -105.061 -39.279 8.182 36.677 150.999
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4144.9838 15.3744 269.60 <0.0000000000000002 ***
## op_count 14.7399 0.5299 27.81 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 55.71 on 49 degrees of freedom
## Multiple R-squared: 0.9404, Adjusted R-squared: 0.9392
## F-statistic: 773.6 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH4" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -177.00 -62.71 -0.59 57.59 187.61
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4127.422 23.324 176.96 <0.0000000000000002 ***
## op_count 16.223 0.804 20.18 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 84.51 on 49 degrees of freedom
## Multiple R-squared: 0.8926, Adjusted R-squared: 0.8904
## F-statistic: 407.2 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH5" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -189.615 -69.680 2.588 52.896 216.255
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4099.8167 24.2493 169.07 <0.0000000000000002 ***
## op_count 19.6297 0.8359 23.48 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 87.86 on 49 degrees of freedom
## Multiple R-squared: 0.9184, Adjusted R-squared: 0.9167
## F-statistic: 551.5 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH6" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -157.136 -61.096 -5.691 54.146 224.676
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4110.2066 23.6025 174.1 <0.0000000000000002 ***
## op_count 20.0945 0.8136 24.7 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 85.52 on 49 degrees of freedom
## Multiple R-squared: 0.9257, Adjusted R-squared: 0.9241
## F-statistic: 610.1 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH7" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -198.906 -55.017 -0.501 70.016 243.484
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4108.3454 25.4772 161.25 <0.0000000000000002 ***
## op_count 23.1093 0.8782 26.32 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 92.31 on 49 degrees of freedom
## Multiple R-squared: 0.9339, Adjusted R-squared: 0.9326
## F-statistic: 692.5 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH8" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -211.55 -60.21 12.27 52.04 177.26
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4074.1158 24.5365 166.04 <0.0000000000000002 ***
## op_count 25.0973 0.8457 29.68 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 88.9 on 49 degrees of freedom
## Multiple R-squared: 0.9473, Adjusted R-squared: 0.9462
## F-statistic: 880.6 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH9" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -188.97 -57.95 -10.51 52.97 153.53
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4105.6342 23.0514 178.11 <0.0000000000000002 ***
## op_count 26.4927 0.7946 33.34 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 83.52 on 49 degrees of freedom
## Multiple R-squared: 0.9578, Adjusted R-squared: 0.9569
## F-statistic: 1112 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH10" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -182.099 -81.918 -1.546 77.382 226.886
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4083.947 29.133 140.18 <0.0000000000000002 ***
## op_count 28.508 1.004 28.39 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 105.6 on 49 degrees of freedom
## Multiple R-squared: 0.9427, Adjusted R-squared: 0.9415
## F-statistic: 805.9 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH11" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -202.94 -61.95 0.66 42.61 207.19
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4110.2956 25.2283 162.92 <0.0000000000000002 ***
## op_count 29.8690 0.8696 34.35 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 91.41 on 49 degrees of freedom
## Multiple R-squared: 0.9601, Adjusted R-squared: 0.9593
## F-statistic: 1180 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH12" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -194.389 -61.918 2.206 75.889 162.072
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4080.9442 23.9702 170.25 <0.0000000000000002 ***
## op_count 32.0850 0.8262 38.83 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 86.85 on 49 degrees of freedom
## Multiple R-squared: 0.9685, Adjusted R-squared: 0.9679
## F-statistic: 1508 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH13" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -186.907 -56.369 -0.005 72.511 164.660
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4117.4781 23.7368 173.46 <0.0000000000000002 ***
## op_count 32.9330 0.8182 40.25 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 86.01 on 49 degrees of freedom
## Multiple R-squared: 0.9706, Adjusted R-squared: 0.97
## F-statistic: 1620 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH14" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -200.75 -76.54 21.30 58.98 182.06
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4108.932 26.082 157.54 <0.0000000000000002 ***
## op_count 35.188 0.899 39.14 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 94.5 on 49 degrees of freedom
## Multiple R-squared: 0.969, Adjusted R-squared: 0.9684
## F-statistic: 1532 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH15" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -192.82 -84.02 15.09 82.52 146.49
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4121.2485 25.7086 160.31 <0.0000000000000002 ***
## op_count 36.4340 0.8862 41.12 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 93.15 on 49 degrees of freedom
## Multiple R-squared: 0.9718, Adjusted R-squared: 0.9713
## F-statistic: 1690 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH16" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -178.681 -70.877 3.128 68.683 198.396
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4135.4223 24.8694 166.28 <0.0000000000000002 ***
## op_count 36.9227 0.8572 43.07 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 90.11 on 49 degrees of freedom
## Multiple R-squared: 0.9743, Adjusted R-squared: 0.9737
## F-statistic: 1855 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH17" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -193.379 -65.040 8.252 55.497 154.467
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4116.2293 24.0299 171.30 <0.0000000000000002 ***
## op_count 39.7430 0.8283 47.98 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 87.07 on 49 degrees of freedom
## Multiple R-squared: 0.9792, Adjusted R-squared: 0.9787
## F-statistic: 2302 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH18" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -197.899 -74.459 3.384 58.624 178.174
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4107.4261 26.1003 157.37 <0.0000000000000002 ***
## op_count 42.0951 0.8997 46.79 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 94.57 on 49 degrees of freedom
## Multiple R-squared: 0.9781, Adjusted R-squared: 0.9777
## F-statistic: 2189 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH19" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -144.12 -64.04 -6.96 55.94 221.01
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4120.9118 24.2367 170.03 <0.0000000000000002 ***
## op_count 43.2212 0.8354 51.74 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 87.82 on 49 degrees of freedom
## Multiple R-squared: 0.982, Adjusted R-squared: 0.9817
## F-statistic: 2677 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH20" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -167.870 -53.448 3.986 62.824 166.286
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4106.1701 22.6560 181.24 <0.0000000000000002 ***
## op_count 45.4222 0.7809 58.16 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 82.09 on 49 degrees of freedom
## Multiple R-squared: 0.9857, Adjusted R-squared: 0.9854
## F-statistic: 3383 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH21" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -203.346 -55.206 -5.499 56.197 238.256
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4122.7523 25.0563 164.54 <0.0000000000000002 ***
## op_count 47.0170 0.8637 54.44 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 90.79 on 49 degrees of freedom
## Multiple R-squared: 0.9837, Adjusted R-squared: 0.9834
## F-statistic: 2964 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH22" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -203.264 -56.011 -9.056 63.945 214.519
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4139.5324 27.3613 151.29 <0.0000000000000002 ***
## op_count 48.6567 0.9431 51.59 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 99.14 on 49 degrees of freedom
## Multiple R-squared: 0.9819, Adjusted R-squared: 0.9816
## F-statistic: 2662 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH23" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -176.16 -60.58 11.66 69.43 143.97
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4113.4178 24.6785 166.68 <0.0000000000000002 ***
## op_count 50.4029 0.8506 59.25 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 89.42 on 49 degrees of freedom
## Multiple R-squared: 0.9862, Adjusted R-squared: 0.986
## F-statistic: 3511 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH24" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -182.377 -66.817 6.171 47.421 191.504
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4123.7112 24.3028 169.68 <0.0000000000000002 ***
## op_count 51.6190 0.8377 61.62 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 88.06 on 49 degrees of freedom
## Multiple R-squared: 0.9873, Adjusted R-squared: 0.987
## F-statistic: 3797 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH25" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -166.92 -64.61 16.34 62.36 169.92
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4152.312 23.469 176.93 <0.0000000000000002 ***
## op_count 52.590 0.809 65.01 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 85.04 on 49 degrees of freedom
## Multiple R-squared: 0.9885, Adjusted R-squared: 0.9883
## F-statistic: 4226 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH26" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -137.98 -59.46 -10.77 61.69 216.98
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4111.4710 22.0922 186.10 <0.0000000000000002 ***
## op_count 56.1043 0.7615 73.68 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 80.05 on 49 degrees of freedom
## Multiple R-squared: 0.9911, Adjusted R-squared: 0.9909
## F-statistic: 5428 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH27" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -152.33 -67.47 10.06 64.79 158.94
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4128.739 22.251 185.55 <0.0000000000000002 ***
## op_count 56.871 0.767 74.15 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 80.62 on 49 degrees of freedom
## Multiple R-squared: 0.9912, Adjusted R-squared: 0.991
## F-statistic: 5498 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH28" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -218.675 -57.246 -1.178 52.914 159.264
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4129.1776 24.0310 171.83 <0.0000000000000002 ***
## op_count 58.1600 0.8283 70.21 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 87.07 on 49 degrees of freedom
## Multiple R-squared: 0.9902, Adjusted R-squared: 0.99
## F-statistic: 4930 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH29" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -203.392 -57.472 6.862 51.635 191.623
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4112.1286 23.8620 172.33 <0.0000000000000002 ***
## op_count 60.9847 0.8225 74.14 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 86.46 on 49 degrees of freedom
## Multiple R-squared: 0.9912, Adjusted R-squared: 0.991
## F-statistic: 5498 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH30" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -148.433 -69.260 -6.616 61.709 207.676
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4141.462 24.688 167.75 <0.0000000000000002 ***
## op_count 62.154 0.851 73.04 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 89.45 on 49 degrees of freedom
## Multiple R-squared: 0.9909, Adjusted R-squared: 0.9907
## F-statistic: 5335 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH31" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -192.213 -60.622 -5.944 71.421 214.953
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4131.5799 25.3499 162.98 <0.0000000000000002 ***
## op_count 64.1984 0.8738 73.47 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 91.85 on 49 degrees of freedom
## Multiple R-squared: 0.991, Adjusted R-squared: 0.9908
## F-statistic: 5398 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "PUSH32" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -180.374 -73.968 1.914 65.162 235.736
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4119.7440 27.6162 149.18 <0.0000000000000002 ***
## op_count 66.0118 0.9519 69.35 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 100.1 on 49 degrees of freedom
## Multiple R-squared: 0.9899, Adjusted R-squared: 0.9897
## F-statistic: 4809 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "DUP1" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -301.82 -33.57 18.41 52.84 139.50
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6277.8171 24.4920 256.32 < 0.0000000000000002 ***
## op_count 7.7834 0.8442 9.22 0.00000000000278 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 88.74 on 49 degrees of freedom
## Multiple R-squared: 0.6343, Adjusted R-squared: 0.6269
## F-statistic: 85 on 1 and 49 DF, p-value: 0.000000000002781
## [1] "DUP2" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -243.37 -25.50 16.01 40.02 140.02
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6273.9276 22.8644 274.40 < 0.0000000000000002 ***
## op_count 8.4405 0.7881 10.71 0.0000000000000197 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 82.85 on 49 degrees of freedom
## Multiple R-squared: 0.7007, Adjusted R-squared: 0.6946
## F-statistic: 114.7 on 1 and 49 DF, p-value: 0.00000000000001968
## [1] "DUP3" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -308.97 -30.42 12.43 50.41 111.69
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6279.9706 23.1897 270.809 < 0.0000000000000002 ***
## op_count 7.5424 0.7993 9.436 0.00000000000133 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 84.02 on 49 degrees of freedom
## Multiple R-squared: 0.645, Adjusted R-squared: 0.6378
## F-statistic: 89.04 on 1 and 49 DF, p-value: 0.000000000001334
## [1] "DUP4" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -247.08 -39.17 13.35 53.22 144.32
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6299.7621 24.0736 261.69 < 0.0000000000000002 ***
## op_count 7.6593 0.8298 9.23 0.00000000000268 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 87.23 on 49 degrees of freedom
## Multiple R-squared: 0.6349, Adjusted R-squared: 0.6274
## F-statistic: 85.2 on 1 and 49 DF, p-value: 0.000000000002682
## [1] "DUP5" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -259.560 -31.495 9.937 50.080 183.426
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6288.1143 22.1521 283.861 < 0.0000000000000002 ***
## op_count 7.4460 0.7636 9.752 0.000000000000461 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 80.27 on 49 degrees of freedom
## Multiple R-squared: 0.6599, Adjusted R-squared: 0.653
## F-statistic: 95.09 on 1 and 49 DF, p-value: 0.0000000000004608
## [1] "DUP6" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -259.01 -41.45 16.92 42.06 180.09
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6274.2866 24.2045 259.22 < 0.0000000000000002 ***
## op_count 8.4081 0.8343 10.08 0.000000000000155 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 87.7 on 49 degrees of freedom
## Multiple R-squared: 0.6746, Adjusted R-squared: 0.6679
## F-statistic: 101.6 on 1 and 49 DF, p-value: 0.0000000000001554
## [1] "DUP7" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -86.924 -33.205 -8.669 30.282 93.694
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6388.6497 11.5045 555.32 <0.0000000000000002 ***
## op_count 5.3819 0.3966 13.57 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 41.68 on 49 degrees of freedom
## Multiple R-squared: 0.7899, Adjusted R-squared: 0.7856
## F-statistic: 184.2 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "DUP8" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -69.244 -24.677 0.035 26.898 150.203
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6379.3922 10.6260 600.36 <0.0000000000000002 ***
## op_count 5.8518 0.3663 15.98 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 38.5 on 49 degrees of freedom
## Multiple R-squared: 0.839, Adjusted R-squared: 0.8357
## F-statistic: 255.3 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "DUP9" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -264.95 -31.37 18.79 53.24 257.69
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6271.9457 26.4999 236.678 < 0.0000000000000002 ***
## op_count 7.8363 0.9134 8.579 0.0000000000252 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 96.02 on 49 degrees of freedom
## Multiple R-squared: 0.6003, Adjusted R-squared: 0.5922
## F-statistic: 73.6 on 1 and 49 DF, p-value: 0.00000000002522
## [1] "DUP10" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -284.87 -33.98 14.31 62.22 158.79
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6303.7915 26.6727 236.339 < 0.0000000000000002 ***
## op_count 7.0829 0.9194 7.704 0.000000000543 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 96.64 on 49 degrees of freedom
## Multiple R-squared: 0.5478, Adjusted R-squared: 0.5385
## F-statistic: 59.35 on 1 and 49 DF, p-value: 0.0000000005433
## [1] "DUP11" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -66.105 -27.032 -1.408 28.169 75.939
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6415.9114 10.5526 607.99 <0.0000000000000002 ***
## op_count 5.0498 0.3637 13.88 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 38.24 on 49 degrees of freedom
## Multiple R-squared: 0.7973, Adjusted R-squared: 0.7932
## F-statistic: 192.7 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "DUP12" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -265.77 -31.57 14.98 44.34 144.35
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6303.7666 22.9848 274.258 < 0.0000000000000002 ***
## op_count 7.4227 0.7923 9.369 0.00000000000167 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 83.28 on 49 degrees of freedom
## Multiple R-squared: 0.6418, Adjusted R-squared: 0.6344
## F-statistic: 87.78 on 1 and 49 DF, p-value: 0.000000000001674
## [1] "DUP13" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -111.526 -32.559 2.191 25.099 72.365
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6387.5260 11.7458 543.8 <0.0000000000000002 ***
## op_count 5.1413 0.4049 12.7 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 42.56 on 49 degrees of freedom
## Multiple R-squared: 0.767, Adjusted R-squared: 0.7622
## F-statistic: 161.3 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "DUP14" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -62.749 -20.545 -2.357 13.531 96.639
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6359.0965 9.6425 659.49 <0.0000000000000002 ***
## op_count 5.5969 0.3324 16.84 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 34.94 on 49 degrees of freedom
## Multiple R-squared: 0.8527, Adjusted R-squared: 0.8497
## F-statistic: 283.6 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "DUP15" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -266.83 -30.66 19.79 54.69 156.80
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6283.9732 23.6263 265.974 < 0.0000000000000002 ***
## op_count 7.8583 0.8144 9.649 0.000000000000649 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 85.61 on 49 degrees of freedom
## Multiple R-squared: 0.6552, Adjusted R-squared: 0.6482
## F-statistic: 93.11 on 1 and 49 DF, p-value: 0.0000000000006492
## [1] "DUP16" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -61.964 -23.769 -2.336 21.620 113.759
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6483.8522 10.0630 644.33 <0.0000000000000002 ***
## op_count 4.6349 0.3469 13.36 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 36.46 on 49 degrees of freedom
## Multiple R-squared: 0.7847, Adjusted R-squared: 0.7803
## F-statistic: 178.6 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "SWAP1" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -89.43 -38.87 -11.24 23.56 224.02
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5066.1301 17.2303 294.02 < 0.0000000000000002 ***
## op_count 7.0489 0.5939 11.87 0.000000000000000506 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 62.43 on 49 degrees of freedom
## Multiple R-squared: 0.7419, Adjusted R-squared: 0.7367
## F-statistic: 140.9 on 1 and 49 DF, p-value: 0.0000000000000005064
## [1] "SWAP2" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -117.367 -32.230 -5.884 12.300 227.412
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5073.9317 17.9748 282.28 < 0.0000000000000002 ***
## op_count 6.8631 0.6196 11.08 0.00000000000000605 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 65.13 on 49 degrees of freedom
## Multiple R-squared: 0.7146, Adjusted R-squared: 0.7088
## F-statistic: 122.7 on 1 and 49 DF, p-value: 0.000000000000006054
## [1] "SWAP3" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -92.07 -43.91 -18.27 27.89 243.38
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5077.8454 19.0456 266.62 < 0.0000000000000002 ***
## op_count 6.6411 0.6565 10.12 0.000000000000137 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 69.01 on 49 degrees of freedom
## Multiple R-squared: 0.6762, Adjusted R-squared: 0.6696
## F-statistic: 102.3 on 1 and 49 DF, p-value: 0.000000000000137
## [1] "SWAP4" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -114.808 -39.028 -2.298 28.432 195.842
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5088.3480 17.7954 285.94 < 0.0000000000000002 ***
## op_count 6.6900 0.6134 10.91 0.0000000000000104 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 64.48 on 49 degrees of freedom
## Multiple R-squared: 0.7083, Adjusted R-squared: 0.7023
## F-statistic: 119 on 1 and 49 DF, p-value: 0.00000000000001044
## [1] "SWAP5" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -79.790 -45.349 -9.828 23.227 199.519
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5063.5241 16.4620 307.59 < 0.0000000000000002 ***
## op_count 6.8845 0.5674 12.13 0.000000000000000225 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 59.65 on 49 degrees of freedom
## Multiple R-squared: 0.7503, Adjusted R-squared: 0.7452
## F-statistic: 147.2 on 1 and 49 DF, p-value: 0.0000000000000002252
## [1] "SWAP6" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -127.45 -63.50 -5.00 40.89 190.30
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5063.6889 21.7906 232.38 < 0.0000000000000002 ***
## op_count 8.6066 0.7511 11.46 0.00000000000000181 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 78.96 on 49 degrees of freedom
## Multiple R-squared: 0.7282, Adjusted R-squared: 0.7227
## F-statistic: 131.3 on 1 and 49 DF, p-value: 0.000000000000001813
## [1] "SWAP7" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -137.13 -49.75 10.40 48.97 186.41
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5070.9408 21.8328 232.26 <0.0000000000000002 ***
## op_count 10.0663 0.7526 13.38 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 79.11 on 49 degrees of freedom
## Multiple R-squared: 0.785, Adjusted R-squared: 0.7806
## F-statistic: 178.9 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "SWAP8" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -112.749 -38.380 -8.571 25.501 226.239
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5093.4046 19.3660 263.008 < 0.0000000000000002 ***
## op_count 6.5595 0.6675 9.827 0.000000000000359 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 70.17 on 49 degrees of freedom
## Multiple R-squared: 0.6634, Adjusted R-squared: 0.6565
## F-statistic: 96.56 on 1 and 49 DF, p-value: 0.0000000000003587
## [1] "SWAP9" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.920 -42.250 -6.767 17.606 239.706
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5099.054 19.059 267.533 < 0.0000000000000002 ***
## op_count 6.297 0.657 9.584 0.000000000000808 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 69.06 on 49 degrees of freedom
## Multiple R-squared: 0.6521, Adjusted R-squared: 0.645
## F-statistic: 91.86 on 1 and 49 DF, p-value: 0.000000000000808
## [1] "SWAP10" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -200.38 -54.95 24.17 55.97 135.53
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5072.430 22.599 224.5 <0.0000000000000002 ***
## op_count 12.150 0.779 15.6 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 81.88 on 49 degrees of freedom
## Multiple R-squared: 0.8324, Adjusted R-squared: 0.8289
## F-statistic: 243.3 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "SWAP11" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -84.083 -33.944 -9.469 15.012 178.268
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5076.8763 15.2809 332.24 <0.0000000000000002 ***
## op_count 6.8771 0.5267 13.06 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 55.37 on 49 degrees of freedom
## Multiple R-squared: 0.7767, Adjusted R-squared: 0.7722
## F-statistic: 170.5 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "SWAP12" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -130.965 -64.968 -1.891 42.394 177.872
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5056.8993 21.4436 235.82 <0.0000000000000002 ***
## op_count 9.0829 0.7391 12.29 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 77.7 on 49 degrees of freedom
## Multiple R-squared: 0.755, Adjusted R-squared: 0.75
## F-statistic: 151 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "SWAP13" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -150.453 -67.303 -1.491 42.759 194.344
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5049.8379 23.3351 216.41 < 0.0000000000000002 ***
## op_count 8.9504 0.8043 11.13 0.00000000000000515 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 84.55 on 49 degrees of freedom
## Multiple R-squared: 0.7165, Adjusted R-squared: 0.7107
## F-statistic: 123.8 on 1 and 49 DF, p-value: 0.000000000000005155
## [1] "SWAP14" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -100.663 -34.673 -1.676 20.081 250.342
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5086.6757 18.4403 275.85 < 0.0000000000000002 ***
## op_count 6.4996 0.6356 10.23 0.0000000000000955 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 66.82 on 49 degrees of freedom
## Multiple R-squared: 0.6809, Adjusted R-squared: 0.6744
## F-statistic: 104.6 on 1 and 49 DF, p-value: 0.00000000000009547
## [1] "SWAP15" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -157.661 -48.263 3.481 65.785 153.578
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5123.5426 21.8485 234.50 <0.0000000000000002 ***
## op_count 13.3152 0.7531 17.68 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 79.16 on 49 degrees of freedom
## Multiple R-squared: 0.8645, Adjusted R-squared: 0.8617
## F-statistic: 312.6 on 1 and 49 DF, p-value: < 0.00000000000000022
## [1] "SWAP16" "erigon"
##
## Call:
## lm(formula = measure_total_time_ns ~ op_count, data = df_mean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -161.39 -64.27 18.07 63.58 185.27
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5084.587 22.108 229.99 <0.0000000000000002 ***
## op_count 11.697 0.762 15.35 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 80.11 on 49 degrees of freedom
## Multiple R-squared: 0.8278, Adjusted R-squared: 0.8243
## F-statistic: 235.6 on 1 and 49 DF, p-value: < 0.00000000000000022
Export the results
write.csv(estimates, paste0("../../local/", env, "_marginal_estimated_cost.csv"), quote=FALSE, row.names=FALSE)